How to Use the Wistia MCP in Vercel AI SDK

Q: How do I check Wistia project metadata using Vercel AI SDK?

To get basic project details, call getprojectdetails. The results stream through your client's UI in real time. This is much smoother than waiting for a massive JSON payload to load all at once.

Q: Can I list all Wistia videos and then get their captions with Vercel AI SDK?

Yeah, you can chain those calls. First, use listvideos to get the media IDs. Then, pass those IDs into listvideocaptions for a complete picture of your assets.

Q: Does Wistia support OAuth authentication with Vercel AI SDK?

Yes. The setup supports an authProvider, so you can connect the MCP Server using OAuth credentials, making it easier to manage user access within your client-side application.

Stream live Wistia data directly into your UI using Vercel AI SDK.

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Connect Wistia MCP to Vercel AI SDK

Create your Vinkius account to connect Wistia to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Wistia with Vercel AI SDK

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Display Project Lists Live

Show users all the projects in their account instantly. When you call `list_projects`, the client streams back a list of project names and IDs. This means your user doesn't stare at a spinner; they see the data appear on screen as it arrives. It’s perfect for building dashboards where the end-user needs real-time confirmation that the system is working. You can pair this with `get_project_details` to show more info right after listing them.

Stream Video Analytics Data

Get video performance numbers and stream them straight into your Next.js component. Use the `get_video_stats` tool to pull key metrics like views or engagement rates. Since it streams, you can show a counter updating live as the data arrives. This makes your application feel faster and more responsive than anything that relies on large loading blocks. It's crucial for showing dynamic dashboard information.

Manage Video Metadata Live

Need to update a video's title or description? Call `update_video_details` and stream the confirmation back immediately. This is ideal for embedded forms where users need instant feedback on their submission. It doesn’t just confirm success; it streams the modified data, letting your UI reflect the change right away. You can use this to build simple content management interfaces.

Setup guide

Set up Wistia MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Wistia tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Wistia transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Wistia. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Wistia MCP in Vercel AI SDK

To get basic project details, call `get_project_details`. The results stream through your client's UI in real time. This is much smoother than waiting for a massive JSON payload to load all at once.

This server primarily handles project, video metadata, and performance analytics. Specifically, it gives access to `video_stats` and general account metrics.

Focus on streaming every piece of data you fetch. Don't batch results; let your client display each piece—like listing projects or getting video stats—as it arrives. This is the core advantage of using the Vercel AI SDK.

Yeah, you can chain those calls. First, use `list_videos` to get the media IDs. Then, pass those IDs into `list_video_captions` for a complete picture of your assets.

Yes. The setup supports an `authProvider`, so you can connect the MCP Server using OAuth credentials, making it easier to manage user access within your client-side application.

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